As opposed to the standard DDPM [1]} training, our single-image-DDPM model outputs a prediction for the un-noised input crop. In fig:noisevsimage we show examples for our generated outputs for predicting the crop/image (top) against generated outputs for predicting noise (bottom). As shown, predicting the un-noised crop instead of the noise generates higher quality images. It also does so with much fewer training iterations.
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